AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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2,089 papers
The perceived importance of most cognitive skills will decrease in the future, with an AI-rich environment, but critical thinking skills remain important.
SustainAI provides a practical foundation for integrating ethical care and environmental responsibility into AI infrastructure design and lifecycle management, framing AI sustainability around relational ethics, regional equity, and ecological stewardship.
This work presents ContextXR, a novel benchmarking framework for context-aware XR interfaces, and demonstrates that ContextXR enables the systematic, reproducible evaluation of context-aware XR interfaces.
The present study profiled eight Serbian participants through a questionnaire, a deep interview, and a written self-presentation, recorded their reactions to sixty-eight social media posts, and asked four language models to predict those reactions under five prompt conditions varying profile content and instruction sty...
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Three broad AI tutor conversation styles are identified among students: Short (bounded, few-turn exchanges), Reactive (repeatedly submitting code and errors), and Proactive (driving problem-solving through targeted inquiry), which are significantly correlated with challenge completion and the completion-rate gap betwee...
Artificial Intelligence (AI) and large language models (LLMs) are increasingly used in social and psychological research. Among potential applications, LLMs can be used to generate, customise, or adapt measurement instruments. This study presents a preliminary investigation of AI-generated questionnaires by comparing t...
Rel relational authority is developed: authorization is distributed across people, records, providers, and audiences, and must remain traceable as those relations change, and must remain traceable as those relations change.
Voice agents must complete users' tasks despite noise, reverberation, and competing speech. Evaluating agents' robustness therefore requires following how acoustic conditions affect the conversation and the actions taken on the user's behalf. This overview examines what existing benchmarks reveal about agents' ability...
Priva-See is built, an LLM-based inference system for app-collected user data that reflects the best understanding of how real-life adtech companies would leverage machine learning to build user profiles, and suggests changes to how smartphone OSes should gather user consent for data access, to better inform users abou...
This paper explores the potential of integrating e-textiles as part of the approach to delivering computing in UK secondary schools. As one of the few UK-based exploratory studies of teachers experiences, it investigates how e-textile platforms such as the SewSimple maker kit and the BBC micro:bit can be incorporated i...
This paper introduces experience-centered design (ECD) as an approach to investigate potential NDRAs within FAVs by examining the intricate connections between individuals'daily routines, specific travel contexts, and the activities they might undertake in transit.
Teachers are increasingly using generative AI to support instruction, yet it remains unclear how pedagogical intentions are translated into chatbot configurations and reflected in chatbot behavior. We studied a teacher-facing chatbot authoring tool in professional development workshops with 27 middle school teachers, a...
AI agents can generate code at a scale that’s hard for humans to review line-by-line. PDD Kit helps ensure the code is doing what the developer intended by creating formal specifications and testing against them. It converts developer intent into a Verus specification, proves AI-generated code meets it for every input, and uses tests where proofs aren't practical. Developers review intent, not every line. The post Formally verifying agent-written full-stack web apps with PDD Kit appeared first o…
Data Mining & Modeling
Professor Paris Smaragdis develops computers with superhuman hearing for applications like speech recognition, music understanding, and environmental monitoring.
During the School of Humanities, Arts, and Social Sciences’ 75th Anniversary Symposium, President Sally Kornbluth said “MIT has never needed your particular insight and guidance more than we do now.”
Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.
“X-Hinges” helps design and 3D print items like lamps and gloves with an interactive twist: automatically embedded sensors that perceive and adaptively respond to human contact.
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